Triple

T18849954
Position Surface form Disambiguated ID Type / Status
Subject Linha do Norte E461012 entity
Predicate hasStationOnRoute P96297 FINISHED
Object Santarém railway station NE NERFINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Santarém railway station | Statement: [Linha do Norte, hasStationOnRoute, Santarém railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santarém railway station
Context triple: [Linha do Norte, hasStationOnRoute, Santarém railway station]
  • A. Porto São Bento railway station
    Porto São Bento railway station is a historic central train station in Porto, Portugal, renowned for its azulejo tile panels and role as a key hub for regional and commuter rail services.
  • B. Porto Campanhã railway station
    Porto Campanhã railway station is the main intercity and regional rail hub in Porto, Portugal, serving as a key gateway for national and international train connections.
  • C. Setúbal station
    Setúbal station is a major railway terminus in the city of Setúbal, Portugal, serving as a key hub for regional and commuter rail services.
  • D. Abrantes railway station
    Abrantes railway station is a key rail transport hub serving the town of Abrantes in central Portugal, connecting regional and long-distance train services.
  • E. Estoril railway station
    Estoril railway station is a coastal train stop on Portugal’s Cascais Line, serving the seaside resort town of Estoril and its surrounding area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Santarém railway station
Target entity description: Santarém railway station is a key passenger and regional rail stop in the city of Santarém, Portugal, serving as part of the country’s main north–south railway corridor.
  • A. Porto São Bento railway station
    Porto São Bento railway station is a historic central train station in Porto, Portugal, renowned for its azulejo tile panels and role as a key hub for regional and commuter rail services.
  • B. Porto Campanhã railway station
    Porto Campanhã railway station is the main intercity and regional rail hub in Porto, Portugal, serving as a key gateway for national and international train connections.
  • C. Setúbal station
    Setúbal station is a major railway terminus in the city of Setúbal, Portugal, serving as a key hub for regional and commuter rail services.
  • D. Abrantes railway station
    Abrantes railway station is a key rail transport hub serving the town of Abrantes in central Portugal, connecting regional and long-distance train services.
  • E. Estoril railway station
    Estoril railway station is a coastal train stop on Portugal’s Cascais Line, serving the seaside resort town of Estoril and its surrounding area.
  • F. None of above. chosen

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8f1abdc819081638ed384da191e completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.